OpenAI高层密集表态反对AI夺权
Sam Altman罕见发文强调人类必须掌控未来，反对将控制权让渡给超级智能；OpenAI同步展示ChatGPT/Codex在物理世界工程应用。29条推文高热讨论AI安全与商业扩张的紧张关系。
Altman的表态时机值得玩味：正值Anthropic因政治转发陷入舆论风波、OpenAI自身商业扩张承压之际。这不是抽象哲学讨论，而是对监管风向的主动校准——欧盟AI法案和美国州级立法正在收紧，"人类控制"成为合规话术的安全区。
更深层信号是OpenAI在重新定义叙事重心：从"AGI即将到来"转向"AGI必须可控"，这与其近期密集推企业级产品、强调实用落地的策略一致。做AI infra和安全合规工具的创业者注意，"可解释性""人在回路"这类功能正从加分项变刚需。
RT @PabloTorre: What is the point of a politician — let alone a literal vice president — who says he understood all of this and yet did abs…
查看原文 →RT @thsottiaux: Day 25/ We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today. We heard yo…
查看原文 →People should always be in control of the future. OpenAI is against the notion that it would be acceptable for people to be relegated to a role of doing things that “AI systems think makes sense to reward in humans”. People should not cede control of the future to superintelligence, and that requirement should ultimately constrain AI progress.
查看原文 →ChatGPT and Codex are helping engineers build for the physical world. We’re sharing our progress across mechanical design, electrical engineering, and simulation—from helping our hardware teams iterate faster to testing new workflows with industry collaborators. https://t.co/b3rW9zYJGA
查看原文 →RT @ylecun: @heyshrutimishra LLMs accumulate a lot of declarative knowledge. That's how they can answer a large number of questions. That'…
查看原文 →As AI becomes more capable at finding vulnerabilities, defenders need to put it to work before attackers do. We’re planning our next internal security sprint at OpenAI and partnering with Cathedral Systems, whose researchers will use our models alongside our teams to challenge our defenses. They’ll bring differentiated expertise and approaches to our ongoing work to find and fix weaknesses with AI. We’re also raising bug bounty rewards, including more than quadrupling rewards for critical findings. Exceptional findings will be eligible for up to $172,000, including bonuses. We’ll keep advancing our models, using them to strengthen our own systems, and expanding access for trusted defenders. https://t.co/vcaoHROTt2
查看原文 →RT @SteveRattner: Elon Musk dropped nearly half a billion dollars on the midterms. 98% of the money he spent on specific candidates went…
查看原文 →RT @richarddeitsch: That CBS number is incredible — and by incredible and I mean spectacularly and catastrophically awful. They should hav…
查看原文 →RT @AlexiGlad: looped reasoning is completely overrated Energy-Based Reasoning (EBR) runs circles around looped reasoning paper dropping…
查看原文 →RT @joshtpm: every couple days for the last few weeks I've watched this for like a hundred times straight.
查看原文 →RT @Arjunjain: I was trained to think Yann LeCun was wrong. My PhD was in Vapnik’s school. Kernels. Bounds. Neural nets were alchemy. The…
查看原文 →RT @ylecun: @Arjunjain Plot twist: I was Vapnik's Department Head between 1996 and 2002, and made sure he had the space, resources, and col…
查看原文 →RT @lukaskuhn77: Introducing LeVJEPA 1.5 Large, the first step in scaling our method. It closes the gap to V-JEPA on both image and video…
查看原文 →RT @antirez: Remember one thing when you read JEPA vs LLMs in the context of the platonic representation hypothesis. Hidden state of an LLM…
查看原文 →RT @randall_balestr: Another example that we should spend more time thinking about improving pretraining losses rather than just searching…
查看原文 →RT @KenRoth: This is the current NY Times forecast. Incredible! https://t.co/Su7Kuce3Lb
查看原文 →RT @svpino: Redis is cutting down the cost of running AI applications: 1. Semantic caching — Reuses generated answers from previous reques…
查看原文 →You can now add a talking animated character to a website or app. Here is the API that will let you do that. You take an image and a short voice recording, and it turns them into an avatar you can talk to live.
查看原文 →This is for freelancers and anyone doing creative work. This gives you an agent that takes care of a ton of the work we have to do every day: 1. It drafts proposals for clients 2. It generates tasks from a project description 3. It schedules those tasks around commitments 4. It keeps clients updated on progress 5. It prepares invoices 6. It prepares time logs based on tasks and activity
查看原文 →RT @Brian_Bo_Li: @ylecun is certainly one of the few true thinkers and innovators in today’s overhyped AI landscape. He is brave to say s…
查看原文 →RT @GreylockVC: One of the biggest bets startup employees make is on the founder. That trust may not be tested until years later, when the…
查看原文 →Specialized Models >> Larger Models. This is an open-source platform that will help you choose and run specialized models in your applications. Basically, you can set up which models you want to serve specific tasks. For example, if your agent needs to classify a message, read text on an image, search files, and write a response, you could have 4 different models to serve each of these tasks.
查看原文 →This is a shared memory service where you can connect multiple agents and AI tools to reuse knowledge. For example, you can save information using Codex and retrieve it through Claude Code. Two scenarios where this is very helpful: • To keep a portable knowledge base not tied to any agent. • To have the flexibility of using multiple agents without duplicating the knowledge.
查看原文 →Soniox just realeased their latest speech-to-text model for voice agents, dictation, and meeting tools. But there's something really cool about it: Developers can send the model the audio they want to transcribe, along with the text of what the agent said to prompt that response. Pretty clever idea. The model can use that context to better recognize the user's reply and filter out the agent's own voice if the microphone picks it up.
查看原文 →Open models keep getting better! You can run this 8.8B-parameter model on your hardware, and it comes with impressive benchmarks, including 93% of frontier performance on coding and 92% on instruction following. @thewebAI cooked here. The link to the Hugging Face model page is below.
查看原文 →RT @shaunbjohnson: At @224ventureshq, one thing we look for when we speak to founders is speed of execution. Execution is critical because…
查看原文 →RT @randall_balestr: If you are at INFORMS in San Francisco, come by room 211 where I will be talking about our latest JEPA research in 10m…
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